Adjusting for Bias Due to Incomplete Case Ascertainment in Case-Control Studies of Birth Defects
نویسندگان
چکیده
منابع مشابه
Adjusting for bias due to incomplete case ascertainment in case-control studies of birth defects.
Case-control studies of birth defects might be subject to selection bias when there is incomplete ascertainment of cases among pregnancies that are terminated after a prenatal diagnosis of the defect. We propose a simple method to estimate inverse probability of selection weights (IPSWs) for cases ascertained from both pregnancies that end in termination and those that do not end in termination...
متن کاملAdjusting for selection bias in retrospective, case-control studies.
Retrospective case-control studies are more susceptible to selection bias than other epidemiologic studies as by design they require that both cases and controls are representative of the same population. However, as cases and control recruitment processes are often different, it is not always obvious that the necessary exchangeability conditions hold. Selection bias typically arises when the s...
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BACKGROUND Increasing numbers of individuals are choosing to opt out of population-based sampling frames due to privacy concerns. This is especially a problem in the selection of controls for case-control studies, as the cases often arise from relatively complete population-based registries, whereas control selection requires a sampling frame. If opt out is also related to risk factors, bias ca...
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When some individuals are screen-detected before the beginning of the study, but otherwise would have been diagnosed symptomatically during the study, this results in different case-ascertainment probabilities among screened and unscreened participants, referred to here as lead-time-biased case-ascertainment (LTBCA). In fact, this issue can arise even in risk-factor studies nested within a rand...
متن کاملBias due to differential participation in case-control studies and review of available approaches for adjustment
OBJECTIVES Low response rates in epidemiologic research potentially lead to the recruitment of a non-representative sample of controls in case-control studies. Problems in the unbiased estimation of odds ratios arise when characteristics causing the probability of participation are associated with exposure and outcome. This is a specific setting of selection bias and a realistic hazard in many ...
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ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 2015
ISSN: 0002-9262,1476-6256
DOI: 10.1093/aje/kwu323